Update app.py

app.py

@@ -1,6 +1,7 @@
 from PIL import Image
 from transformers import BlipProcessor, BlipForConditionalGeneration
 import numpy as np
+import cv2
 from deepface import DeepFace
 import gradio as gr
 
@@ -31,10 +32,15 @@ def analyze_image(image_pil):
     out = model.generate(**inputs)
     caption = processor.decode(out[0], skip_special_tokens=True)
 
-    # Face detection using DeepFace
+    # Convert to BGR for DeepFace
+    image_bgr = cv2.cvtColor(image_np, cv2.COLOR_RGB2BGR)
+
+    # Face detection using DeepFace with RetinaFace backend
     try:
-        faces = DeepFace.extract_faces(img_path=image_pil, detector_backend="retinaface", enforce_detection=False)
-    except Exception:
+        faces = DeepFace.extract_faces(img_path=image_bgr, detector_backend="retinaface", enforce_detection=False)
+        print(f"DeepFace detected {len(faces)} face(s)")
+    except Exception as e:
+        print("DeepFace error:", e)
         faces = []
 
     face_infos = []